A5067309700- Micro and Nano Robotics
- Microfluidic and Bio-sensing Technologies
- Global Health Care Issues
- Time Series Analysis and Forecasting
- Probability and Risk Models
- Advanced Nanomaterials in Catalysis
- Geophysical Methods and Applications
- Statistical Distribution Estimation and Applications
- Insurance, Mortality, Demography, Risk Management
- Seismic Imaging and Inversion Techniques
- Underwater Acoustics Research
- Anomaly Detection Techniques and Applications
- Molecular Communication and Nanonetworks
- Complex Systems and Time Series Analysis
- Energy Load and Power Forecasting
- Insurance and Financial Risk Management
- Financial Risk and Volatility Modeling
Jiangsu University
2023-2024
Sun Yat-sen Memorial Hospital
2023
Sun Yat-sen University
2023
Abstract Acute lung injury (ALI) is a frequent and serious complication of sepsis with limited therapeutic options. Gaining insights into the inflammatory dysregulation that causes sepsis‐associated ALI can help develop new strategies. Herein, crucial role cell‐free mitochondrial DNA (cf‐mtDNA) in regulation alveolar macrophage activation during identified. Most importantly, biocompatible hybrid protein nanomotor (NM) composed recombinant deoxyribonuclease I (DNase‐I) human serum albumin...
Predicting mortality rates is a crucial issue in life insurance pricing and demographic statistics. Traditional approaches, such as the Lee-Carter model its variants, predict trends of using factor models, which explain variations from perspective ages, gender, regions, other factors. Recently, deep learning techniques have achieved great success various tasks shown strong potential for time-series forecasting. In this paper, we propose modified Transformer architecture predicting major...
Self-Propelled Proteomotors with active cf-mtDNA Clearance In article number 2301635, Lihan Shen, Fei Peng, Yingfeng Tu, and co-workers develop a novel DNase-I-powered nanomotor system which efficiently eliminates inhibits TLR9-mediated inflammatory activation of alveolar macrophages as strategy for sepsis-associated acute lung injury treatment.
The task of predicting house prices is a classical worthy challenge in the field data analysis. In face smaller samples, it difficult to achieve accurate prediction use actual scenarios. this paper, two different enhancement methods are proposed for types features. For features with large jitter and no obvious time trend, augmentation designed by clustering residual terms while eliminating instability data. second one less fluctuation residuals get Box-cox transformation STL decomposition,...